研究目的
To track the global maximum power point of photovoltaic systems in partially shaded conditions accurately and rapidly.
研究成果
The proposed MPPT method effectively tracks the global maximum power point under partially shaded conditions with high accuracy and speed. It uses an intelligent sampling procedure and marginal power analysis to limit the search area, resulting in improved performance compared to prior methods.
研究不足
The method's performance may be affected by rapid changes in irradiance or partial shading conditions during the operation of the GMPP tracker.
1：Experimental Design and Method Selection:
The proposed MPPT method uses an intelligent sampling procedure based on fractional open circuit voltage method and takes initial samples from the power-voltage characteristic of photovoltaic array. It then determines the marginal array power around each sample to eliminate samples not in the vicinity of the global maximum power point.
2：Sample Selection and Data Sources:
The method involves taking samples from the power-voltage characteristic of a photovoltaic array under partially shaded conditions.
3：List of Experimental Equipment and Materials:
The setup comprises a boost converter connected to a PV array, with specifications including input capacitor, inductor, switching frequency, and output voltage.
4：Experimental Procedures and Operational Workflow:
The method involves taking initial samples, determining marginal powers, eliminating non-viable samples, and then searching the remaining area for the global maximum power point.
5：Data Analysis Methods:
The performance of the new tracking method is evaluated through MATLAB/Simulink simulations and compared with recently presented methods.
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